Master complex concepts with these powerful memory aids. Each mnemonic is designed to help you remember key concepts and techniques in machine learning and data science.
Test your knowledge of NumPy arrays, operations, and methods
SHAPE - Size, Helpful, Array, Properties, Elements
DOT - Data, Operations, Transformations
MEAN - Methods, Elements, Arrays, Numbers
What does the .shape attribute tell you about a NumPy array?
Which operator gives the dot product of two matrices in NumPy?
What does np.random.randn() generate?
Master pandas data manipulation and analysis
CRUD - Create, Read, Update, Delete
GROUP - Get, Read, Organize, Process, Summarize
What is the primary data structure in pandas?
How do you read a CSV file in pandas?
What does .groupby() do?
Master the art of designing effective prompts for language models
CLEAR - Context, Language, Examples, Accuracy, Refinement
SMART - Specific, Measurable, Achievable, Relevant, Time-bound
What is the role of context in prompt engineering?
What is 'temperature' in LLM settings?
What is 'prompt chaining'?
Core concepts in machine learning and inference
TRAIN - Test, Run, Analyze, Iterate, Normalize
MODEL - Machine, Output, Data, Evaluation, Learning
What is the difference between training and inference?
What is overfitting?
What is cross-validation used for?
Understanding data in vector spaces and spatial relationships
SPACE - Spatial, Position, Analysis, Coordinates, Embeddings
DISTANCE - Data, Information, Similarity, Transformation, Analysis, Coordinates, Embeddings
What is a vector space in the context of data?
What is the purpose of embeddings in machine learning?
How is similarity typically measured between vectors?
Link mnemonics to real examples and use cases you encounter.
Review mnemonics daily and apply them while solving problems.
Create mental images that connect the mnemonic to the concept.
Apply mnemonics while taking quizzes and solving real problems.
Develop personal mnemonics that work best for your learning style.
Share and discuss mnemonics with peers to reinforce learning.
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